Standardized conversion model for retinal thickness measurements between spectral-domain and swept-source optical coherence tomography based on machine learning

Standardized conversion model for retinal thickness measurements between spectral-domain and swept-source optical coherence tomography based on machine learning

PurposeTo conduct a systematic comparative analysis of macular retinal thickness, retinal nerve fiber layer (RNFL) thickness, and ganglion cell-inner plexiform layer (GCIPL) thickness measurements between spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) in healthy...

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Bibliographic Details
Main Authors: Zhongping Tian, Yinning Guo, Xi Chen, Qifeng Zhou, Yuan Liu, Zhizhu Yi, Li Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
optical coherence tomography
machine learning
retinal thickness
standardized conversion
spectral-domain
swept-source
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2025.1612455/full
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https://www.frontiersin.org/articles/10.3389/fcell.2025.1612455/full

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